Changyun Li

1.5k total citations · 1 hit paper
101 papers, 995 citations indexed

About

Changyun Li is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Information Systems. According to data from OpenAlex, Changyun Li has authored 101 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 25 papers in Control and Systems Engineering and 17 papers in Information Systems. Recurrent topics in Changyun Li's work include Machine Fault Diagnosis Techniques (16 papers), Gear and Bearing Dynamics Analysis (11 papers) and Fault Detection and Control Systems (8 papers). Changyun Li is often cited by papers focused on Machine Fault Diagnosis Techniques (16 papers), Gear and Bearing Dynamics Analysis (11 papers) and Fault Detection and Control Systems (8 papers). Changyun Li collaborates with scholars based in China, United States and Macao. Changyun Li's co-authors include Lanjun Wan, Yuanyuan Li, Keqin Li, Keyu Chen, Longxin Zhang, Kenli Li, Yiwei Chen, Guan‐Jun Yang, Jiong Chen and Xiaojun Deng and has published in prestigious journals such as Scientific Reports, Chemical Engineering Journal and Inorganic Chemistry.

In The Last Decade

Changyun Li

85 papers receiving 954 citations

Hit Papers

A novel deep convolution multi-adversarial domain adaptat... 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A novel deep convolution multi-adversarial domain adaptation model for rolling bearing fault diagnosis
    2022 151 citations Lanjun Wan, Yuanyuan Li et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Changyun Li China 16 389 242 175 150 142 101 995
Hui Cao China 15 247 0.6× 165 0.7× 131 0.7× 66 0.4× 240 1.7× 141 1.0k
Huifang Li China 12 175 0.4× 91 0.4× 143 0.8× 149 1.0× 38 0.3× 36 687
Zhongren Wang China 14 252 0.6× 170 0.7× 59 0.3× 46 0.3× 51 0.4× 35 878
Ming Luo Singapore 14 418 1.1× 143 0.6× 48 0.3× 46 0.3× 248 1.7× 68 995
Guoliang Liu China 18 199 0.5× 79 0.3× 109 0.6× 90 0.6× 72 0.5× 99 954
Johan Åkesson Sweden 21 834 2.1× 258 1.1× 84 0.5× 35 0.2× 184 1.3× 94 1.7k
Guanyu Hu China 18 341 0.9× 84 0.3× 182 1.0× 200 1.3× 73 0.5× 83 1.3k

Countries citing papers authored by Changyun Li

Since Specialization
Citations

This map shows the geographic impact of Changyun Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Changyun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changyun Li more than expected).

Fields of papers citing papers by Changyun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Changyun Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Changyun Li. The network helps show where Changyun Li may publish in the future.

Co-authorship network of co-authors of Changyun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Changyun Li. A scholar is included among the top collaborators of Changyun Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Changyun Li. Changyun Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Zongjie, et al.. (2025). Electricity demand forecasting and power supply planning under carbon neutral targets. Energy Reports. 13. 2740–2751.
2.
Shi, Jinjin, Yanjun Liu, Changyun Li, et al.. (2024). Unraveling the role of ubiquitin-conjugating enzyme 5 (UBC5) in disease pathogenesis: A comprehensive review. Cellular Signalling. 124. 111376–111376. 3 indexed citations
3.
Yang, Guan‐Jun, Yanjun Liu, Jinjin Shi, et al.. (2024). PRMT7 in cancer: Structure, effects, and therapeutic potentials. European Journal of Medicinal Chemistry. 283. 117103–117103. 2 indexed citations
4.
Peng, Cheng, et al.. (2024). A Rolling Bearing Fault Diagnosis Method Based on Multimodal Knowledge Graph. IEEE Transactions on Industrial Informatics. 20(11). 13047–13057. 13 indexed citations
5.
Wan, Lanjun, et al.. (2024). A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis. Knowledge-Based Systems. 299. 112113–112113. 10 indexed citations
6.
Xu, Xi, et al.. (2024). Classification of Sleeping Position Using Enhanced Stacking Ensemble Learning. Entropy. 26(10). 817–817. 1 indexed citations
7.
Wan, Lanjun, et al.. (2024). Efficient cross-domain fault diagnosis via distributed multi-source domain deep transfer learning. Measurement Science and Technology. 36(1). 16165–16165. 3 indexed citations
8.
Li, Changyun, Y. Liu, Tao Fan, et al.. (2023). Lysine-specific demethylase 7A (KDM7A): A potential target for disease therapy. Biochemical Pharmacology. 216. 115799–115799. 6 indexed citations
9.
Chen, Lijuan, Y. Liu, Minghui Zhu, et al.. (2023). The role of lysine-specific demethylase 6A (KDM6A) in tumorigenesis and its therapeutic potentials in cancer therapy. Bioorganic Chemistry. 133. 106409–106409. 8 indexed citations
10.
Wan, Lanjun, et al.. (2023). Intelligent fault diagnosis via ring-based decentralized federated transfer learning. Knowledge-Based Systems. 284. 111288–111288. 21 indexed citations
11.
12.
Liu, Qiang, et al.. (2021). A Garbage Detection and Classification Method Based on Visual Scene Understanding in the Home Environment. Complexity. 2021(1). 19 indexed citations
13.
Liu, Qiang, et al.. (2020). A Group Recommendation System of Network Document Resource Based on Knowledge Graph and LSTM in Edge Computing. Security and Communication Networks. 2020. 1–11. 11 indexed citations
14.
Li, Changyun. (2012). Innovations of Business Model Caused by the Next Generation of Information Technology. Zhongguo ruankexue. 2 indexed citations
15.
Li, Changyun, et al.. (2012). Research on interactive behavior analyzing in new-type distributed software system. World Automation Congress. 513–517. 1 indexed citations
16.
Li, Changyun. (2010). Traffic Information Integration Model Based on Message Bus. Jisuanji gongcheng. 1 indexed citations
17.
Li, Changyun. (2009). Research and development on behavior monitoring and controlling of trusted software in dynamic evolution environment. Jisuanji yingyong yanjiu. 1 indexed citations
18.
Li, Changyun, et al.. (2009). Research on the temporary performance of the protective current transformers with DC bias excitation. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 1–5. 6 indexed citations
19.
Li, Changyun. (2008). Dynamic Evolution Technology of Software. Computer Technology and Development. 1 indexed citations
20.
Li, Changyun. (2007). Scenario-driven approach of business process modeling. Computer Engineering and Applications Journal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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